SR.DSR: Data & Statistical Reasoning – Formulate Statistical Investigative Questions

SR.DSR.2: Formulate statistical investigative questions of interest to students that can be answered with data.

SR.DSR.2.1: Formulate statistical investigative questions about a population using samples taken from the population.

Polling: Neighborhood

SR.DSR.2.2: Formulate comparative and associative statistical investigative questions for surveys, observational studies, and experiments to compare two or more groups or to investigate the association of two or more variables.

Estimating Population Size
Polling: Neighborhood
Populations and Samples
Real-Time Histogram
Sight vs. Sound Reactions
Time Estimation
Trends in Scatter Plots

SR.DSR.2.3: Formulate multivariable statistical investigative questions.

Correlation

SR.DSR.2.4: Formulate inferential statistical investigative questions regarding association and prediction.

Correlation
Trends in Scatter Plots

SR.DSR: Data & Statistical Reasoning – Collect Data

SR.DSR.3: Collect data by designing and implementing a plan to address the formulated statistical investigative question.

SR.DSR.3.1: Apply an appropriate data-collection plan when collecting primary or secondary data for the statistical investigative question of interest.

Polling: City
Polling: Neighborhood
Reaction Time 1 (Graphs and Statistics)
Real-Time Histogram
Sight vs. Sound Reactions
Time Estimation

SR.DSR.3.2: Distinguish between surveys, observational studies, and experiments.

Estimating Population Size
Polling: City
Polling: Neighborhood
Populations and Samples

SR.DSR.3.3: Design sample surveys, experiments, and observational studies using accepted practices.

Box-and-Whisker Plots
Histograms
Polling: Neighborhood
Reaction Time 1 (Graphs and Statistics)
Real-Time Histogram
Sight vs. Sound Reactions
Time Estimation

SR.DSR.3.5: Describe potential sources and effects of bias and confounding variables.

Reaction Time 1 (Graphs and Statistics)
Real-Time Histogram
Sight vs. Sound Reactions
Time Estimation

SR.DSR.3.7: Identify when data can be generalized to a target population.

Estimating Population Size
Polling: City
Polling: Neighborhood
Populations and Samples

SR.DSR: Data & Statistical Reasoning – Analyze Data

SR.DSR.4: Analyze data by selecting and using appropriate graphical and numerical methods.

SR.DSR.4.1: Summarize quantitative or categorical data using tables, graphical displays, and numerical summary statistics.

Box-and-Whisker Plots
Polling: City
Polling: Neighborhood
Reaction Time 1 (Graphs and Statistics)
Real-Time Histogram
Sight vs. Sound Reactions

SR.DSR.4.2: Summarize and describe relationships among multiple variables.

Correlation
Least-Squares Best Fit Lines
Solving Using Trend Lines
Trends in Scatter Plots

SR.DSR.4.3: Use sampling distributions developed through simulation to describe the sample-to-sample variability of sample statistics.

Box-and-Whisker Plots
Estimating Population Size
Polling: Neighborhood
Real-Time Histogram
Sight vs. Sound Reactions

SR.DSR.4.5: Describe the relationship between two quantitative variables by interpreting correlation (r) and a least-square regression line (using technology).

Correlation
Least-Squares Best Fit Lines

SR.DSR: Data & Statistical Reasoning – Interpret Results

SR.DSR.5: Interpret the results of the analysis, making connections to the formulated statistical investigative question.

SR.DSR.5.1: Use statistical evidence from analyses to answer the formulated statistical investigative questions.

Estimating Population Size
Polling: City
Polling: Neighborhood
Populations and Samples
Real-Time Histogram
Sight vs. Sound Reactions
Time Estimation

SR.DSR.5.2: Interpret the impact of outliers, missing values, or erroneous values on the results.

Least-Squares Best Fit Lines
Reaction Time 2 (Graphs and Statistics)
Real-Time Histogram
Sight vs. Sound Reactions

SR.DSR.5.4: Interpret a given margin of error associated with an estimate of a population characteristic.

Polling: City

SR.DSR.5.5: Explain the impact of multiple variables on one another.

Populations and Samples